Optimum acceleration parameter for the GSOR method. - Changjun Li; Baojia Li; David J. Evans 001 (Neural Parallel Sci. Comput., 1999)

Adjusting the Clustering Results Referencing an External Set. - Baojia Li; Yongqian Liu; MingZhu Liu (ICSI (2), 2010)

Leveraging Predictive Analytics to Achieve Knowledge-Defined Orchestration in a Hybrid Optical/Electrical DC Network: Collaborative Forecasting and Decision Making. - Wei Lu 007; Lipei Liang; Bingxin Kong; Baojia Li; Zuqing Zhu (OFC, 2018)

Realizing AI-AssistedMulti-Layer Restoration in a Software-Defined IP-over-EON with Deep Learning: An Experimental Study. - Siqi Liu 004; Baojia Li; Zuqing Zhu (OFC, 2018)

Deep-Learning-Assisted Network Orchestration for On-Demand and Cost-Effective vNF Service Chaining in Inter-DC Elastic Optical Networks. - Baojia Li; Wei Lu 007; Siqi Liu 004; Zuqing Zhu (JOCN, 2018)

Multi-Agent Deep Reinforcement Learning in Cognitive Inter-Domain Networking with Multi-Broker Orchestration. - Xiaoliang Chen; Baojia Li; Roberto Proietti; Zuqing Zhu; S. J. Ben Yoo (OFC, 2019)

Deep-NFVOrch: Deep Reinforcement Learning based Service Framework for Adaptive vNF Service Chaining in IDC-EONs. - Baojia Li; Wei Lu 007; Zuqing Zhu (OFC, 2019)

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks. - Xiaoliang Chen; Baojia Li; Roberto Proietti; Hongbo Lu; Zuqing Zhu; S. J. Ben Yoo (CoRR, 2019)

DeepCoop: Leveraging Cooperative DRL Agents to Achieve Scalable Network Automation for Multi-Domain SD-EONs. - Baojia Li; Zuqing Zhu (OFC, 2020)

AI-Assisted Knowledge-Defined Network Orchestration for Energy-Efficient Data Center Networks. - Wei Lu 007; Lipei Liang; Bingxin Kong; Baojia Li; Zuqing Zhu (IEEE Commun. Mag., 2020)

Deep-NFVOrch: leveraging deep reinforcement learning to achieve adaptive vNF service chaining in DCI-EONs. - Baojia Li; Wei Lu 007; Zuqing Zhu (JOCN, 2020)

Reconfiguring multicast sessions in elastic optical networks adaptively with graph-aware deep reinforcement learning. - Xiaojian Tian; Baojia Li; Rentao Gu; Zuqing Zhu (JOCN, 2021)

Multi-Agent and Cooperative Deep Reinforcement Learning for Scalable Network Automation in Multi-Domain SD-EONs. - Baojia Li; Ruyun Zhang; Xiaojian Tian; Zuqing Zhu (IEEE Trans. Netw. Serv. Manag., 2021)

To Cooperate or Not to Cooperate: Service Function Chaining in Multi-Domain Edge-Cloud Elastic Optical Networks. - Sijia Li; Baojia Li; Zuqing Zhu (OFC, 2022)

TCCL: Co-optimizing Collective Communication and Traffic Routing for GPU-centric Clusters. - Baojia Li; Xiaoliang Wang 001; Jingzhu Wang; Yifan Liu; Yuanyuan Gong; Hao Lu; Weizhen Dang; Weifeng Zhang; Xiaojie Huang; Mingzhuo Chen; Jie Chen; Chunzhi He; et al. (NAIC, 2024)

Privacy and security trade-off in interconnected systems with known or unknown privacy noise covariance. - Haojun Wang; Kun Liu 002; Baojia Li; Emilia Fridman; Yuanqing Xia (Autom., 2025)